Machine Learning

Active Annotation in Evaluating the Credibility of Web-Based Medical Information: Guidelines for Creating Training Data Sets for Machine Learning

Aleksandra Nabożny, Bartłomiej Balcerzak, Adam Wierzbicki, Mikołaj Morzy, Małgorzata Chlabicz

JMIR Med Inform 2021 (Nov 26); 9(11):e26065

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Developing the Total Health Profile, a Generalizable Unified Set of Multimorbidity Risk Scores Derived From Machine Learning for Broad Patient Populations: Retrospective Cohort Study

Abhishaike Mahajan, Andrew Deonarine, Axel Bernal, Genevieve Lyons, Beau Norgeot

J Med Internet Res 2021 (Nov 26); 23(11):e32900

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Incorporating Domain Knowledge Into Language Models by Using Graph Convolutional Networks for Assessing Semantic Textual Similarity: Model Development and Performance Comparison

David Chang, Eric Lin, Cynthia Brandt, Richard Andrew Taylor

JMIR Med Inform 2021 (Nov 26); 9(11):e23101

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Feasibility, Usability, and Effectiveness of a Machine Learning–Based Physical Activity Chatbot: Quasi-Experimental Study

Quyen G To, Chelsea Green, Corneel Vandelanotte

JMIR Mhealth Uhealth 2021 (Nov 26); 9(11):e28577

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Clinician Preimplementation Perspectives of a Decision-Support Tool for the Prediction of Cardiac Arrhythmia Based on Machine Learning: Near-Live Feasibility and Qualitative Study

Stina Matthiesen, Søren Zöga Diederichsen, Mikkel Klitzing Hartmann Hansen, Christina Villumsen, Mats Christian Højbjerg Lassen, Peter Karl Jacobsen, Niels Risum, Bo Gregers Winkel, Berit T Philbert, Jesper Hastrup Svendsen, Tariq Osman Andersen

JMIR Hum Factors 2021 (Nov 26); 8(4):e26964

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Predictive Modeling of Vaccination Uptake in US Counties: A Machine Learning–Based Approach

Queena Cheong, Martin Au-yeung, Stephanie Quon, Katsy Concepcion, Jude Dzevela Kong

J Med Internet Res 2021 (Nov 25); 23(11):e33231

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Assessing the Value of Unsupervised Clustering in Predicting Persistent High Health Care Utilizers: Retrospective Analysis of Insurance Claims Data

Raghav Ramachandran, Michael J McShea, Stephanie N Howson, Howard S Burkom, Hsien-Yen Chang, Jonathan P Weiner, Hadi Kharrazi

JMIR Med Inform 2021 (Nov 25); 9(11):e31442

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Contemporary English Pain Descriptors as Detected on Social Media Using Artificial Intelligence and Emotion Analytics Algorithms: Cross-sectional Study

Ming Yi Tan, Charlene Enhui Goh, Hee Hon Tan

JMIR Form Res 2021 (Nov 25); 5(11):e31366

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Machine Learning Methods for Predicting Postpartum Depression: Scoping Review

Kiran Saqib, Amber Fozia Khan, Zahid Ahmad Butt

JMIR Ment Health 2021 (Nov 24); 8(11):e29838

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Machine Learning and Medication Adherence: Scoping Review

Aaron Bohlmann, Javed Mostafa, Manish Kumar

JMIRx Med 2021 (Nov 24); 2(4):e26993

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A Markerless 2D Video, Facial Feature Recognition–Based, Artificial Intelligence Model to Assist With Screening for Parkinson Disease: Development and Usability Study

Xinyao Hou, Yu Zhang, Yanping Wang, Xinyi Wang, Jiahao Zhao, Xiaobo Zhu, Jianbo Su

J Med Internet Res 2021 (Nov 19); 23(11):e29554

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The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review

Zainab Jan, Noor AI-Ansari, Osama Mousa, Alaa Abd-alrazaq, Arfan Ahmed, Tanvir Alam, Mowafa Househ

J Med Internet Res 2021 (Nov 19); 23(11):e29749

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Prediction Model of Osteonecrosis of the Femoral Head After Femoral Neck Fracture: Machine Learning–Based Development and Validation Study

Huan Wang, Wei Wu, Chunxia Han, Jiaqi Zheng, Xinyu Cai, Shimin Chang, Junlong Shi, Nan Xu, Zisheng Ai

JMIR Med Inform 2021 (Nov 19); 9(11):e30079

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An Open-Source, Standard-Compliant, and Mobile Electronic Data Capture System for Medical Research (OpenEDC): Design and Evaluation Study

Leonard Greulich, Stefan Hegselmann, Martin Dugas

JMIR Med Inform 2021 (Nov 19); 9(11):e29176

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Detecting Tonic-Clonic Seizures in Multimodal Biosignal Data From Wearables: Methodology Design and Validation

Sebastian Böttcher, Elisa Bruno, Nikolay V Manyakov, Nino Epitashvili, Kasper Claes, Martin Glasstetter, Sarah Thorpe, Simon Lees, Matthias Dümpelmann, Kristof Van Laerhoven, Mark P Richardson, Andreas Schulze-Bonhage, The RADAR-CNS Consortium

JMIR Mhealth Uhealth 2021 (Nov 19); 9(11):e27674

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Deep Learning Techniques for Fatty Liver Using Multi-View Ultrasound Images Scanned by Different Scanners: Development and Validation Study

Taewoo Kim, Dong Hyun Lee, Eun-Kee Park, Sanghun Choi

JMIR Med Inform 2021 (Nov 18); 9(11):e30066

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Machine Learning–Based Predictive Modeling of Anxiety and Depressive Symptoms During 8 Months of the COVID-19 Global Pandemic: Repeated Cross-sectional Survey Study

Katrina Hueniken, Nibene Habib Somé, Mohamed Abdelhack, Graham Taylor, Tara Elton Marshall, Christine M Wickens, Hayley A Hamilton, Samantha Wells, Daniel Felsky

JMIR Ment Health 2021 (Nov 17); 8(11):e32876

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Machine Learning–Based Hospital Discharge Prediction for Patients With Cardiovascular Diseases: Development and Usability Study

Imjin Ahn, Hansle Gwon, Heejun Kang, Yunha Kim, Hyeram Seo, Heejung Choi, Ha Na Cho, Minkyoung Kim, Tae Joon Jun, Young-Hak Kim

JMIR Med Inform 2021 (Nov 17); 9(11):e32662

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Clinician Perspectives on Using Computational Mental Health Insights From Patients’ Social Media Activities: Design and Qualitative Evaluation of a Prototype

Dong Whi Yoo, Sindhu Kiranmai Ernala, Bahador Saket, Domino Weir, Elizabeth Arenare, Asra F Ali, Anna R Van Meter, Michael L Birnbaum, Gregory D Abowd, Munmun De Choudhury

JMIR Ment Health 2021 (Nov 16); 8(11):e25455

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Predicting COVID-19–Related Health Care Resource Utilization Across a Statewide Patient Population: Model Development Study

Suranga N Kasturi, Jeremy Park, David Wild, Babar Khan, David A Haggstrom, Shaun Grannis

J Med Internet Res 2021 (Nov 15); 23(11):e31337

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